{"id":"W2611774733","doi":"","title":"Transmittal of Official Documents- Supplemental Arrangement with the Government of Canada for Contribution to TF072603 Parallel to TF072401","year":2016,"lang":"en","type":"article","venue":"","topic":"Mathematics, Computing, and Information Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Political science; Business; Public administration; Linguistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001863666,0.001363795,0.002175081,0.005191727,0.007810459,0.007402978,0.003986632,0.002594961,0.8485863],"category_scores_gemma":[0.01161667,0.0009489016,0.001378852,0.006411192,0.001489698,0.002326905,0.003293011,0.002796841,0.6927726],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02119533,"about_ca_system_score_gemma":0.0604788,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7734535,"about_ca_topic_score_gemma":0.8261467,"domain_scores_codex":[0.9962499,0.00009982945,0.00008239594,0.0003544534,0.002297943,0.0009155585],"domain_scores_gemma":[0.9790449,0.000599928,0.0002689846,0.002080614,0.01574237,0.002263282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001062227,0.00005352659,0.000298851,0.00006846965,0.00001164916,0.00003141886,0.00009568437,0.0001705474,0.0009326101,0.006166646,0.9682716,0.02379278],"study_design_scores_gemma":[0.00007446112,0.00002836086,0.002424796,0.0000638275,0.00001788424,0.0000564601,0.0002488318,0.001017714,0.00192684,0.003207558,0.9908963,0.00003682165],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001906369,0.0002798819,0.005588567,0.008734127,0.006101341,0.0005362344,0.1373576,0.008309556,0.8311863],"genre_scores_gemma":[0.008699778,0.0002025609,0.00277035,0.0003574491,0.0002703762,0.0000605979,0.02593481,0.002709642,0.9589943],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9788046,"threshold_uncertainty_score":0.4557614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006125928034883023,"score_gpt":0.2136373225225359,"score_spread":0.2075113944876529,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}